The research papers assigned for the first and second summers of graduate study are designed to give students an early introduction to research work. The third semester competence examination is based on the areas covered in these courses. Since classes are usually small, students frequently meet informally with their instructors. Each course is taught by a faculty member who is actively pursuing research in the subject area. The basic operations research courses offered include: linear, nonlinear, integer and dynamic programming graph theory and network optimization convex optimization and convex analysis and stochastic models. There is a rich tradition of graduates from the program going on to successful careers in these areas both in academia (in business schools, engineering schools in IE and OR departments as well as in Math and Computer Science departments) and industry. Towards this goal, the program provides the opportunity to develop knowledge of functional areas of business to which optimization can be applied such as Marketing, Operations and Finance.

Controlled experimentation that leads to empirical results that make efficiency comparisons possible among algorithmsĪ major goal of the program is to train students to recognize operations research problems in real-world situations, and to give them the opportunity to learn about the deployment of operations research models in one or more of these substantive areas.

The development of new analytical models appropriate for management science applications in areas such as Marketing, Operations, and Finance.

The derivations of fundamental results of an analytical or mathematical nature that lead to the development of algorithms for aiding decision-making.

This knowledge can take several forms including: The Tepper School's doctoral program in operations research (OR) is designed to encourage students to make contributions toward basic scientific knowledge in the area. Program in Operations Research stresses optimization techniques leading to decision-making algorithms and the development of new models for management science applications.

Phd operational research